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Spatial and Temporal Autocorrelation in Innovation Diffusion Analysis

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Computational Science and Its Applications — ICCSA 2003 (ICCSA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2669))

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Abstract

The paper discusses the effects of spatial, temporal, and joint spatio-temporal autocorrelation. The purpose of the study of spatio-temporal autocorrelation is to optimize the efficiency of dynamic regression estimates, in a spatio-temporal univariate regression model. After calculating and examining the effects of global indicators of spatial and temporal autocorrelation, a new spatio-temporal global autocorrelation index is proposed. The index can be view as a preliminary proposal for a dynamic version of Moran’s I.

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References

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Author information

Authors and Affiliations

  1. Department of Geography, University of Calgary, 2500 University Dr. NW, T2N 1N4, Calgary, AB, Canada

    Stefania Bertazzon

Authors
  1. Stefania Bertazzon
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Editor information

Editors and Affiliations

  1. Army High Performance Computing Research Center, USA University of Minessota Department of Computer Science and Engineering, MN, 55455, USA

    Vipin Kumar

  2. Department of Computer Science, University of Calgary, Calgary, AB, T2N1N4, Canada

    Marina L. Gavrilova

  3. Heuchera Technologies Inc., 122 9251-8Yonge Street, Richmond Hill, ON, Canada, L4C 9T3

    Chih Jeng Kenneth Tan

  4. School of Computer Science, The Queen’s University of Belfast, Belfast, BT7 1NN, Northern Ireland UK

    Chih Jeng Kenneth Tan

  5. Département d’informatique et de recherche opérationelle Montréal, Université de Montréal, Québec, H3C 3J7, Canada

    Pierre L’Ecuyer

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© 2003 Springer-Verlag Berlin Heidelberg

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Bertazzon, S. (2003). Spatial and Temporal Autocorrelation in Innovation Diffusion Analysis. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44842-X_3

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  • DOI: https://doi.org/10.1007/3-540-44842-X_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40156-8

  • Online ISBN: 978-3-540-44842-6

  • eBook Packages: Springer Book Archive

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